JOURNAL ARTICLE

Dynamical characteristics of the fractional-order FitzHugh-Nagumo model neuron and its synchronization

Abstract

Through the research on the fractional-order FitzHugh-Nagumo model neuron,it is found that the Hopf bifurcation point of the fractional-order model,where the state of the model neuron changes from quiescence to periodic spiking,is different from that of the corresponding integer-order model when the externally applied current is considered as the bifurcation parameter. We further demonstrate that the range of the strength of the externally applied current in the fractional-order model neuron,which can make the model neuron exhibit periodic spiking,is smaller than that in the corresponding integer-order model neuron. However,the firing frequency of the fractional-order model neuron is higher than that of the integer-order counterpart. Meanwhile,we show that the synchronization rate of two electrically coupled fractional-order FitzHugh-Nagumo model neurons is greater than that of the integer-order counterpart. The Adomian decomposition method is employed to calculate fractional-order differential equations numerically because of its rapid convergence and high accuracy.

Keywords:
Biological neuron model Integer (computer science) Bifurcation Order (exchange) Synchronization (alternating current) Fractional calculus Neuron Physics Applied mathematics Mathematics Nonlinear system Computer science Topology (electrical circuits) Combinatorics Quantum mechanics Neuroscience

Metrics

31
Cited By
2.85
FWCI (Field Weighted Citation Impact)
18
Refs
0.91
Citation Normalized Percentile
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Citation History

Topics

stochastic dynamics and bifurcation
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Fractional Differential Equations Solutions
Physical Sciences →  Mathematics →  Modeling and Simulation
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
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